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Momentum Returns in Tehran Stock Exchange: the Influences of Size and Liquidity

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Momentum Returns in Tehran Stock Exchange: the Influences of Size and Liquidity International Business Research; Vol. 5, No. 11; 2012 ISSN 1913-9004 E-ISSN 1913-9012 Published by Canadian Center of Science and Education Momentum Returns in Tehran Stock Exchange: The Influences of Size and Liquidity Samira Mansouri1, Reza Tehrani2 & Hojatollah Ansari2 1 Department of Financial Management and Insurance, Kish International Campus, University of Tehran, Iran 2 Department of Financial Management and Insurance, Faculty of management, University of Tehran, Iran Correspondence: Samira Mansouri, Department of Financial Management and Insurance, Kish International Campus, University of Tehran, Iran. Tel: 98-939-317-8968. E-mail: [email protected] Received: August 15, 2012 Accepted: September 21, 2012 Online Published: October 16, 2012 doi:10.5539/ibr.v5n11p43 URL: http://dx.doi.org/10.5539/ibr.v5n11p43 Abstract A study was carried out during 2001 to 2010 to illustrate the profit of momentum strategy in Tehran stock Exchange, and possibility of higher abnormal return based on past performance trends. In this study, the effects of two substantial variables including size and liquidity on profitability of momentum strategy in Tehran stock Exchange were investigated. The study was conducted in two sub-periods: 2005-2010, and 2007-2010. The first is due to a significant change in the number of stock companies after privatization, and the second is to cover the effects of global financial crisis on Iran’s economy. Our sample includes three separate samples of all stock market joined companies before the mentioned related periods that have been traded in at least half of the total trading days in the related period. Results showed that using momentum strategy in Tehran Stock Exchange created negative returns in all periods. Moreover, liquidity factor did not affect the profitability of momentum strategy. Meanwhile, considering size as another fundamental factor, the positive effect of small stocks was identified only in one period, from 2005 to 2010. In other periods, however, it led to negative returns. Keywords: momentum strategy, contrarian strategy, return, liquidity, size 1. Introduction The modern financial theory, which is based on efficient market hypothesis, has governed scientific financial circles for more than five decades. According to the modern financial theory, the cost of securities is equal to their intrinsic value. Due to the rational behavior of economic factors, if the cost of securities deviates from their intrinsic value, they make use of this issue and thus incorrect pricing is eliminated. Therefore, in such a market, no benefit can be achieved easily and in order to achieve any benefit, some risks must be welcomed (or accepted). Based on efficient market hypothesis, all data exists in the stock price and it is not possible to expect abnormal return without taking risks. The results of this perspective state that there is no particular trend in the stock price in order to use them to gain extra return, and none of the investment strategies can create extra return in proportion with risk. In other words, the obtained returns are exactly in proportion with their risk. After the world’s financial markets became accustomed to the efficient market paradigm, and the belief in market efficiency gained power increasingly, anomalies and dynamics in the world’s financial markets were discovered. It was affirmed that this trend challenged the main paradigm for market efficiency. The focuses on these phenomena were the human behavioral approaches in investment issues, which were in clear contrast with efficient market hypothesis. One of these anomalies is return continuation (momentum). Momentum is a concept in physics based on Newton’s First Law. It states that a moving object tends to continue its movement until an extra power stops it. In other words, the manifestation of this rule in the market is that the price trend tends to remain constant until an extra power stops it. This strategy consists of investing in the market’s direction and claims that positive or negative return of the past will continue for a specific period in the future. This strategy also leads to obtaining abnormal return in the market. One of the most challenging issues in financial management and investment is predicting security prices. Therefore, any individual and institutional investor in capital markets faces prediction of prices and use of approaches to obtain maximum return with respect to risk or extra market return. Momentum and contrarian strategies are two important strategies in portfolio management that try to gain abnormal return by prediction of 43 www.ccsenet.org/ibr International Business Research Vol. 5, No. 11; 2012 price trends and historical prices in the market. These strategies focus on the prediction of future performance and making abnormal returns using previous trends and historical prices. They take place based on over-reaction hypothesis. Momentum is usually defined as a trend or direction continuation. It states that the stocks with the best (worst) performance recently, continue to the better (worse) performance in the future medium-term horizon. Therefore, the strategy of buying the winners’ and selling the losers’ stocks in the past can create significant abnormal return. The medium-term horizon is usually considered between one to twelve months. Perversely, the “contrarian” strategy claims that the recent price trends reverses. Contrarian investors aim to profit from over-reaction to information in the market, often referred to as the reversal of a trend. They believe that after the first over-reaction, the stock’s price will return to its true market value. Furthermore, if a stock underperforms due to negative information, they would expect this situation to create a higher profit to correct the over-reaction. Therefore, the strategy of buying loser and selling winner stocks in the past can lead to obtained significant abnormal return in the long-term horizon (from one to five years). The momentum phenomenon has been proved in many of the world’s markets including American (NASDAQ, AMEX, NYSE), European, and Asian markets. However, Jegadeesh and Titman (1993) first proposed the momentum trading strategy. It claimed that an investment strategy based on the buying and short selling of stocks that have had the best and the worst performance in the past led to achieve an annual abnormal return of 12.01 percent in the American stock market. This was a significant return in the market and showed that the weak form of efficient market hypothesis was contradicted, because historical information could predict the best and worst stocks in the future. Different studies in different markets around the world have shown that there is much evidence for profitability of momentum trading in the global financial markets. Some of these studies include: Foerster, Prihar and Shmitz (1994,1995) and Korkie and Plas (1995) in the Canadian stock market, Rouwenhorst (1998) in 12 European markets, and Raven Horst (1999) in 20 emerging markets, Chui et al. (2000) in 8 Asian stock markets except Japan and Korea, Hameed and Tang in international stocks indices, Chordia and Shivakumar (2002) in NYSE and AMEX stocks, Hameed and Kusnadi (2002) in 6 emerging Asian stock markets, Demir et al. (2004) in Australian market, and Gunasekarage and Wan Kot in the New Zealand stocks market etc. The studies about momentum strategy do not have a strong background in Iranian markets. In a previous study, Momentum strategy was reported more profitable in the short-term horizon of one to six months in Tehran stock Exchange (TSE) (Fadaeenejad & Sadeghi, 2006). Foster and Kharazi (2006) investigated the momentum and contrarian strategies in TSE using weekly and daily returns of 50 more heavily traded stocks in TSE in the period from 1997 to 2002. They concluded that there is no evidence of contrarian behavior and short-term “Reversal” in TSE, whereas there was evidence of existing momentum returns in the short-term from three to twelve months, which led to generate significant abnormal returns. Moreover, different variables may affect the profitability of the momentum strategy, which its importance has been proved in some financial markets. These variables include liquidity, trading volume, book to market (BE/BM), firm size, transaction costs etc. In fact, there is a necessity to devise strategies, which consist of anomalies of a trend with the market microstructures in the world financial markets. In the present study, focus was placed on two substantial variables: liquidity and size, and their relation to the profitability of the momentum, rather than the existence of momentum, which is considered an anomaly in the market. 2. Methodology 2.1 Momentum Trading Strategies To create the momentum portfolios, a method similar to Jegadeesh and Titman’s (1993) was used. In this way, stocks were ranked in ascending order based on their returns at the end of each i-month (estimation periods). These stocks were then assigned to 1 to 9 equally weighted relative portfolios. The first portfolio, P1 represented “winner” with the stocks that had the best performance (maximum returns), and the last portfolio, P9, represented “loser”, with the stocks that had the worst performance (minimum returns). The portfolios were then held for the following j-months (prediction period) and their return was calculated at the end of j-months. Finally, the differential winner-loser portfolio returns were calculated. To investigate the statistical significance of
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